Anamika Chhabra

ORCID: 0000-0003-4046-5470
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About
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Research Areas
  • Wikis in Education and Collaboration
  • Open Source Software Innovations
  • Knowledge Management and Sharing
  • Expert finding and Q&A systems
  • Mobile Crowdsensing and Crowdsourcing
  • Innovative Teaching and Learning Methods
  • Online Learning and Analytics
  • Online and Blended Learning
  • Opportunistic and Delay-Tolerant Networks
  • Software Engineering Techniques and Practices
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Data Quality and Management
  • Network Security and Intrusion Detection
  • Topic Modeling
  • Software-Defined Networks and 5G
  • Team Dynamics and Performance
  • Text Readability and Simplification
  • Quality and Safety in Healthcare
  • Software Reliability and Analysis Research
  • Structural Integrity and Reliability Analysis
  • Big Data and Business Intelligence
  • Web and Library Services
  • Natural Language Processing Techniques
  • Social Media and Politics
  • Complex Network Analysis Techniques

Indian Institute of Technology Madras
2021-2024

Indian Institute of Technology Ropar
2016-2021

Gossip algorithms are often considered suitable for wireless sensor networks (WSNs) because of their simplicity, fault tolerance, and adaptability to network changes. They based on the idea distributed information dissemination, where each node in periodically sends its randomly selected neighbors, leading a rapid spread throughout network. This approach helps reduce communication overhead ensures robustness against failures. have been commonly employed WSNs owing low overheads scalability....

10.1109/ojcs.2024.3397345 article EN cc-by-nc-nd IEEE Open Journal of the Computer Society 2024-01-01

Collaborative knowledge building achieves better results than individual essentially due to the triggering phenomenon taking place among users in a collaborative setting. Although literature points few theories supporting existence of this phenomenon, yet these have never been validated real environments, thus questioning their general prevalence. In work, we provide mechanized way observe presence environments. We implement method on most-edited articles Wikipedia and show that it may help...

10.1145/3233391.3233535 article EN 2018-07-26

In any collaborative system, cooperation and conflicts exist together. While in some cases these improve the output, they also lead to increased overhead. This requires examining dynamics of with help underlying data. Wikipedia articles, are captured by edit wars which may be examined through revision history articles. this work, we perform a systematic analysis present 1,208 controversial articles form war sequences. We examine various key characteristics sequences further use them estimate...

10.1145/3412569.3412585 article EN 2020-08-25

Internet of Things (IoT) is envisioned as a large collection smart devices that are connected to the and communicate with goal realizing diverse range applications. These from typical home appliances sophisticated industrial instruments. IoT has numerous applications, such precision farming, health care, cities. An issue prevalent in networks due limited resources, environmental factors, malicious attacks, some nodes or links fail adversely affect functioning networks. Hence, robustness...

10.1109/jiot.2021.3116256 article EN IEEE Internet of Things Journal 2021-09-29

The phenomenal success of certain crowdsourced online platforms, such as Wikipedia, is accredited to their ability tap the crowd's potential collaboratively build knowledge. While it well known that collective wisdom surpasses cumulative individual expertise, little understood on dynamics knowledge building in a environment. A proper understanding environment would enable one better designing environments solicit from crowd. Our experiment systems based annotations shows an important reason...

10.1145/2808797.2809410 article EN 2015-08-25

In this work, we examine the disparity in contribution behavior of users with respect to activities that they choose perform on Q&A websites. We collect data 156 websites StackExchange and analyze made by over 5.3 million users. find most tend contribute predominantly one primary activities. Such a yields high-level distribution across activities, which provides useful insights into user base composition these show how varies for discuss it can be valuable maintenance parameter

10.1145/3366424.3382720 article EN Companion Proceedings of the The Web Conference 2018 2020-04-20

The phenomenal success of certain crowdsourced online platforms, such as Wikipedia, is accredited to their ability tap the crowd's potential collaboratively build knowledge. While it well known that collective wisdom surpasses cumulative individual expertise, little understood on dynamics knowledge building in a environment. A proper understanding environment would enable one better designing environments solicit from crowd. Our experiment systems based annotations shows an important reason...

10.48550/arxiv.1502.06719 preprint EN other-oa arXiv (Cornell University) 2015-01-01

Despite a significant improvement in the educational aids terms of effective teaching-learning process, most content available to students is less than optimal context being up-to-date, exhaustive and easy-to-understand. There need iteratively improve material based on feedback collected from students' learning experience. This can be achieved by observing interactions with content, then having authors modify it this feedback. Hence, we aim facilitate promote communication between...

10.48550/arxiv.1503.06009 preprint EN other-oa arXiv (Cornell University) 2015-01-01

Although Wikipedia has been one of the most successful experiments in crowdsourced knowledge building so far, recent statistics show that growth rate decreased. Does it indicate come against its limits growth? A survey conducted by us, however, shows is unable to satisfactorily answer queries users many a times. We believe readers can provide better insight into shortcomings articles. This paper proposes incorporation Q&A facility as possible measures fill gap. created local Wiki, named...

10.1109/comsnets.2016.7439980 article EN 2016-01-01

In this research paper, we have done a statistical study on the factors that influence rate of change piece code (class or groups class working together).After conducting systematic literature survey with stake holders various software development.It was found during life cycle application development ,it undergoes many organic changes due to in objectives building software, and it is now normal remains continuous measuring process critical for remain use as well its relevant, hence ,In...

10.9790/0661-16284548 article EN IOSR Journal of Computer Engineering 2014-01-01

Abstract In this era of information and communication technology, a large population relies on the Internet to gather information. One most popular sources is Wikipedia. Wikipedia free encyclopedia that provides wide range its users. However, there have been concerns about readability time again. The text defined as ease understanding underlying text. Past studies analyzed articles with help conventional metrics, such Flesch-Kincaid score Automatic Readability Index (ARI). Such metrics only...

10.1007/s10489-024-05399-w article EN cc-by Applied Intelligence 2024-03-01

In any collaborative system, people do not contribute equally. This is particularly observed to be true for systems seeking gather contributions from a large, diverse group of people. such settings, it seen that sizable amount contribution comes small highly-active users. While well-understood users are instrumental in the system's progress, made by large less-active sufficiently understood. Popularly called masses, these comprise majority user base. It is, therefore, important examine their...

10.1145/3412569.3412578 article EN 2020-08-25

The quality of Wikipedia articles is manually evaluated which time inefficient as well susceptible to human bias. An automated assessment these may help in minimizing the overall and manual errors. In this paper, we present a novel approach based on structural analysis Wikigraph automate estimation articles. We examine network built using complete set English identify variation signatures with respect their quality. Our study shows that are useful for estimating grades un-assessed an...

10.1145/3442442.3452345 article EN Companion Proceedings of the The Web Conference 2018 2021-04-19

Although the amount of knowledge that humans possess has been gradually increasing, we still do not know procedure and conditions lead to creation new knowledge. An understanding modus operandi for may help in accelerating existing pace building Our state ignorance regarding various aspects process is highlighted by literature domain. The reason behind it our inability acquire underlying data this complex process. However, current time shows great promise improvements domain due availability...

10.48550/arxiv.1705.06946 preprint EN other-oa arXiv (Cornell University) 2017-01-01

Crowdsourcing has revolutionized the process of knowledge building on web. Wikipedia and StackOverflow are witness to this uprising development. However, dynamics behind crowdsourcing in domain is an area relatively unexplored. It been observed that ecosystem exists collaborative environments (KBE), which puts users a KBE into various categories based their expertise. Classical cognitive theories indicate triggering among units be one most important reasons accelerated KBEs. We use concept...

10.48550/arxiv.1510.08282 preprint EN other-oa arXiv (Cornell University) 2015-01-01

In collaborative knowledge building settings, the existing in system is perceived to set stage for manifestation of more knowledge, termed as phenomenon triggering. Although literature points a few theories supporting existence this phenomenon, these have never been validated real environments, thus questioning their general prevalence. work, we provide mechanized way observe presence triggering environments. We implement method on most-edited articles Wikipedia and show how factoids lead...

10.48550/arxiv.1809.00349 preprint EN other-oa arXiv (Cornell University) 2018-01-01
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